Podcasts about Product management

Leaders Founders behind Ouai, Good Girl Snacks, Heaven Mayhem, Hedley & Bennett, and more share the expensive, embarrassing, and clarifying mistakes that taught them how to build stronger businesses. For more from these leaders click here Subscribe and watch Shopify Masters on YouTube!Sign up for your FREE Shopify Trial here.

Meta is one of the biggest dinosaurs in the park, yet in a matter of months it rebuilt PM top to bottom, and almost none of it was bought. My guest is Jagjit Chawla, a VP of Product at Meta who's running a growing share of the Facebook app: Feed, Reels, and more recently Search. I worked alongside Jagjit for nearly ten years across Google, Credit Karma, and Meta, and almost nothing is as I remember it. These systems were built by the teams themselves, sometimes in a single evening, on tools you already have. Jagjit walks me through how a product org of a few thousand people learned to move like a startup again.Key topics:• Inside Meta's “no-meeting week” that set the org loose on the tools• The one job AI can't take: influencing other humans• Why the PMs winning on Jagjit's team aren't engineers• What to do when you're the bottleneck• How to become an "AI captain"• Triaging tens of thousands of bug reports with agents that validate and pre-write the fix• Why letting AI write code made site incidents spike, and how Meta clamped down• Building a morning brief that flags the decisions only you can make• Why the management "compression algorithm" is dead and what replaced itTimestamps:00:00 Introduction05:47 Why the biggest change is pace07:29 From detailed PRDs to a paragraph, a prototype, and an eval set09:32 Why the management "compression algorithm" is dead10:37 Visibility is high, but synthesis is scarce14:45 "Finding a scissor" when you don't have fancy tools16:10 A morning brief that flags the decisions only you can make22:37 When the agent quietly drops your source links25:53 The one job AI can't take: influencing other humans30:18 Getting an analyst's answer in five minutes, not 24 hours33:33 Three ways AI changed the products, not just the process37:25 Why letting AI write code made site incidents spike40:39 The no-meeting week and the birth of "AI captains"44:55 The world's largest Jenga game: why institutional knowledge wins48:41 Why economics and physics PhDs are "out-PMing" engineers52:14 Ideas and agency before tools56:19 "AI lowers the floor and raises the ceiling"58:40 Closing advice: once you taste it, you can't go backBrought to you by:• Glean—Work AI that works• Framer—Design and build your website effortlessly with Framer AgentsReferenced:• Claude Code• Credit Karma• Facebook• Ferrari• Gmail• Google• Google Chat• Google Drive• Indian Premier League (IPL)• Instagram• Meta• Porsche• Prince of Persia• TikTok• Workplace from Meta• ZoomWhere to find Nikhyl:• Twitter/X• LinkedInWhere to find Jagjit:• LinkedInJoin The Skip:• Skip Coach• Skip CommunityFind The Skip:• Website• Substack• YouTube• Spotify• Apple PodcastsDon't forget to subscribe to The Skip to hear me coach you through timely career lessons. Access exclusive sessions from 100+ top product leaders at skip.coach. If you're interested in joining me on a future call, send me a note on LinkedIn, Threads, or Twitter. You can also email me at nikhyl@skip.community This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit theskip.substack.com

“Conversations Are Becoming the Operating System of the Enterprise,” 8×8 Podcast, “The real shift is that conversations are no longer just moments in time,” says says Dhwani Soni, Global Vice President of Product Management at 8×8. “They are where work is coordinated, decisions are made, risks are surfaced and customer relationships are understood.” @Doug Green 8×8 is moving beyond communications as simple connectivity and into a broader role for communications as a source of action, intelligence and accountability. In this podcast, we look at two recent 8×8 announcements posted on Technology Reseller News: 8×8 Resolve, a mobile-first critical communications and incident management solution for deskless and distributed workers, and 8×8 Pulse, a conversational intelligence solution that turns business conversations into insight. “The real shift is that conversations are no longer just moments in time,” says Dhwani Soni, Global Vice President of Product Management at 8×8. “They are where work is coordinated, decisions are made, risks are surfaced and customer relationships are understood.” 8×8 Resolve addresses a practical enterprise problem: when something goes wrong, the people most affected may be the hardest to reach. Frontline employees in healthcare, retail, logistics, utilities, manufacturing and field services often do not sit at a desk, may not have corporate email, and may not be connected to the same tools used by office-based teams. As outlined in the TR-posted announcement on 8×8 Resolve, the solution reaches workers through channels they actually use, including SMS, voice, WhatsApp and the 8×8 Work mobile app. Resolve can escalate until acknowledgment is confirmed and produce an exportable audit trail showing who was notified, when they responded and how the incident was handled. The conversation also explores 8×8 Pulse. Businesses already generate valuable intelligence in calls, meetings, chats, emails, support tickets and customer conversations. Too often, that information remains scattered across recordings, transcripts, inboxes and systems of record. “With Pulse, the conversation itself becomes a source of business memory,” says Soni. “That changes how leaders, account teams, customer success teams and frontline managers understand what is actually happening across the organization.” As described in the TR-posted announcement on 8×8 Pulse, the product is built around the idea that business decisions increasingly happen inside conversations — and that those conversations can become a source of insight, context and action. Taken together, Resolve and Pulse point to a larger platform strategy. Communications are becoming the place where organizations detect problems, coordinate responses, capture commitments, understand customers, manage risk and create a record of what happened. For service providers, MSPs, channel partners and enterprise IT leaders, the message is clear: the next wave of cloud communications value will come from helping customers act on communications data, not simply move it from one endpoint to another. 8×8 Resolve: https://telecomreseller.com/2026/06/03/8×8-announces-8×8-resolve-a-critical-communications-solution-built-for-the-deskless-workforce/ 8×8 Pulse: https://telecomreseller.com/2026/06/03/8×8-introduces-8×8-pulse-conversational-intelligence-built-for-where-decisions-are-made/ Learn more at www.8×8.com.

Part 1 of a 2-part episode From WEDI's Spring 2026 Conference, WEDI Board Member Pam Grosze (PNC Bank) moderates a panel of major EHR leaders who share what's live at scale versus still in pilots, where interoperability is breaking down in real clinical workflows, and the biggest blockers to moving from point integrations to broad payer coverage without increasing burden. The panel: Hans Buitendijk, Senior Director, Interoperability Strategy, Oracle Health Jason Vogt, Manager Development, APIs and Structured Documents, Meditech Sean Cotter, Software Developer, Epic Mohammad Chebli, VP of Interoperability, NextGen Gillian McCabe, Director of Product Management, Authorization Management, athenahealth

What if SEO isn't just about keywords, rankings, or “free traffic” from Google?In this rerun episode of the Simple and Smart SEO Show, Crystal Waddell talks with Ray Grieselhuber, founder of DemandSphere, about why good SEO is really good product management — and why small business owners need to think beyond traditional rank tracking.Ray shares why SEO, user experience, content strategy, product positioning, and customer behavior all work together to shape how your website performs in search. He also explains how Google's search results have changed, why showing up in rich results matters, and how AI-powered search experiences like SGE may impact the future of website visibility.If you've ever wondered how to make your website more useful, more visible, and more aligned with what your customers actually need, this conversation is packed with practical insight.In this episode, we talk about:Why SEO and product management are deeply connectedWhat “product-led SEO” means for small businesses and e-commerce brandsWhy traditional rank tracking no longer tells the whole storyHow SERP features, shopping results, images, and People Also Ask affect visibilityWhat Google's Search Generative Experience may mean for businessesWhy E-E-A-T matters more as AI-generated content increasesHow small businesses can use Google Search Console as a starting pointWhy localization is more than simple translationHow to think about mobile vs. desktop behaviorWhy understanding your audience is still the foundation of SEOGuestRay GrieselhuberFounder of DemandSphereWebsite: demandsphere.comConnect with Ray on LinkedInMentioned in This EpisodeProduct-Led SEO by Eli SchwartzGoogle Search ConsoleGoogle's Search Generative Experience / AI searchE-E-A-T: Experience, Expertise, Authoritativeness, TrustworthinessDigital PRLocalization and hreflangShopify SEOE-commerce SEOGoogle Maps visibilityKey TakeawayGood SEO is not just about ranking higher. It's about building a better website, creating a better experience, understanding how your customers search, and showing up in the places that matter before they ever click through to your site.Favorite Quote“We always say good SEO is good product management. And good product management is good SEO.” — Ray GrieselhuberChapters / Timestamps00:00 — Why good SEO is good product management00:51 — Welcome to the Simple and Smart SEO Show01:00 — Meet Ray Grieselhuber01:25 — Ray's background and journey02:00 — What DemandSphere does02:35 — E-commerce beyond Shopify and retail03:20 — Why Ray recommends Product-Led SEO04:30 — SEO as a core part of business strategy05:00 — The connection between SEO, UX, and customer experience07:20 — Why traditional rank tracking is no longer enough08:45 — Understanding the shape of the SERP09:40 — SERP features, rich results, and shopping results11:00 — Crystal's real-world e-commerce visibility example13:00 — What is Google's Search Generative Experience?15:30 — How SGE may impact businesses16:20 — Digital PR, brand mentions, and semantic search17:30 — What E-E-A-T means18:15 — Why real experience matters in content20:45 — SEO as a long-term digital asset22:30 — NIL, college athletics, and content opportunities25:00 — How small businesses can monitor search visibility25:20 — Why Google Search Console is a great place to start26:30 — Mobile vs. desktop shopping behavior28:00 — What localization means in SEO29:00 — Translation vs. true localization30:00 — Shopify, duplicate pages, and hreflang31:00 — Spanish-language search opportunities32:30 — One thing small business owners can do to increase visibility34:00 — Where to connect with RayText me your questions or comments!Hey, Shopify store owners! (Especially if you're selling on Etsy, too!)Here's a quick question: Are people actually finding your products on Google?If SEO feels confusing, overwhelming, or like something you'll "get to later", this is for you.I'm hosting a free, seven day Shopify SEO challenge that breaks it down into simple, doable steps.No tech headaches, no fluff. Join us at  Hey, Shopify store owners! (Especially if you're selling on Etsy, too!)Here's a quick question: Are people actually finding your products on Google?If SEO feels confusing, overwhelming, or like something you'll "get to later", this is for you.I'm hosting a free, seven day Shopify SEO challenge that breaks it down into simple, doable steps.No tech headaches, no fluff. Join us at aise  Hey, Shopify store owners! (Especially if you're selling on Etsy, too!)Here's a quick question: Are people actually finding your products on Google?If SEO feels confusing, overwhelming, or like something you'll "get to later", this is for you.I'm hosting a free, seven day Shopify SEO challenge that breaks it down into simple, doable steps.No tech headaches, no fluff. Join us atSupport the showBook a Shopify Store Strategy Call With Crystal!Want to follow up on what you've heard? Search the podcast!AFFILIATE LINKS:Start your Shopify Store!Get SurferSEO!Metricool (to be everywhere online, you NEED a social media scheduler!)Grid and PixelNote: If you make a purchase using some of my links, I make a little money. But I only ever share products, people, & offers I trust & use myself!

What if millions of Americans had already proven they could handle a mortgage payment — and the system simply refused to count it?Reggie sits down with Suhas Reddy, Head of Product at Pathward Bank, to unpack what it really means to build product inside the most regulated corners of financial services. Suhas was among the early product leaders at Fannie Mae, driving the Lighthouse Project that later transformed one of the world's largest secondary mortgage institutions into a customer-centric, digital-first product organisation. He now leads product at Pathward as SVP of Product Management across the Nasdaq-listed sponsor bank's B2B products — payments, issuing, lending, acquiring, and commercial finance — developing the products that enable fintechs and brands to reach customers at scale.The conversation covers the 10-year product build that became an overnight pandemic success story, why Suhas treats risk and compliance as design constraints rather than roadblocks, and the title insurance battle he fought — and lost — years before it became national policy. They get into the philosophy of “Legos, not unicorns” as a framework for building scalable fintech infrastructure, and the human-centric conviction that turned rental payment history into a mortgage underwriting signal — unlocking homeownership for borrowers the system had previously ignored. Suhas continues to build infrastructure that expands financial access for underserved communities through Pathward's product platform.

Rory Woodbridge, Product Marketing Consultant, shares why the best PMMs obsess over what he calls radical simplicity.The challenge isn't adding more messaging. It's having the discipline to remove everything that creates confusion.Rory explains why great Product Marketers make tough choices, simplify relentlessly, and focus only on what customers need to understand at each stage of their journey.You'll learn:

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For episode 300 of The Product Podcast, Carlos Gonzalez de Villaumbrosia sits down with Ajit Varma, Head of Firefox at Mozilla, the nonprofit behind the original challenger browser that pioneered browser tabs, pop-up blockers, and browser extensions. With 210 million active users and $826 million in annual revenue, Firefox is the only major independent, open-source browser still standing against Google Chrome's 68% share, Apple Safari's 17%, and a new wave of agentic browsers. Before Mozilla, Ajit spent six years at Meta leading monetization of WhatsApp and overseeing its business messaging platform. He has also held product roles at Google, Uber, and Square.What you'll learn:Why LLMs are making browsers more strategically important, and what that means for product teams building in an agentic worldWhy "trust us" is no longer enough, and how open source changes the standard for privacy in AI products- How to compete against trillion-dollar incumbents without abandoning your missionKey takeaways:Privacy claims without open-source inspectability are unverifiable, "trust us" is no longer a sufficient product strategy in the AI eraCompeting against trillion-dollar companies is possible when mission clarity defines what you refuse to optimize forThe agent-driven internet will either democratize access or concentrate it, product choices made today will determine whichSocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

In this episode of Lessons in Product Management, John sits down with product marketing leader and author Doug Kimball to discuss why messaging is one of the most overlooked drivers of product success. Drawing from Doug's new book, So What? Why? Who Cares?, the conversation explores how product managers and product marketers can work together to create clearer, more compelling messaging that actually connects with customers. The episode dives into:Why great products fail when messaging lacks clarityThe “So What? Why? Who Cares?” framework for simplifying product communicationHow PMs and product marketers should collaborate earlier in discovery and researchThe importance of customer language, segmentation, and win/loss analysisWhy storytelling matters in product management — not just marketingHow poor PM/PMM alignment can unintentionally create “vaporware” sales cyclesThe discussion ultimately argues that product management and product marketing are strongest when deeply embedded together throughout the product lifecycle, from discovery to go-to-market.Buy the book

Well, that escalated quickly! In the span of a few weeks the Trump administration went from AI regulation is dangerous and we will lose to China to an executive order calling for AI model-makers to submit to a “voluntary” review of their most advanced models to… the Friday night massacre of Anthropic's Fable 5, which they declared too dangerous for any non-US citizen to use, which caused Anthropic to withdraw it completely. So where do go from here? It seems like, de facto, all new models will be subject to review and withdrawal. But on what criteria? And who can we trust to do this fairly? That's what Ron J. Williams and I get into on the latest FAFO. Ron thinks a lot about trust. It's core to the products he builds as a partner at Co-Created and as the founder of Scam Hero, an app he launched to keep people safe after his father trusted the wrong person and got scammed out of more than a million dollars. Ron says: "I think it's fair to say that Anthropic didn't bend the knee hard enough and that's kind of why we're here. The problem with that is that that's not good enough. AI is now global infrastructure. It can't just be the throne that says "Not you, but you,” because it's important enough that it really does beg the question, “who gets to decide?”---Future Around & Find Out newsletter & archive: https://www.futurearound.com

Engineering teams are building ten times — even a hundred times — more than they could two years ago. That's a win, but one not without challenges. Because the cost of building the right thing has climbed exponentially. In this episode of the ServiceNow Insights podcast, host Bobby Brill sits down with three leaders who are living this tension from three distinct angles: the content and design leader who first spotted the productivity math problem, the design VP pushing for discernment over speed, and the research lead keeping the human at the center. ━━━━━━━━━━━━━━━━━━━━━━━━IN THIS EPISODE ━━━━━━━━━━━━━━━━━━━━━━━━ DAVID HOARE — Group VP, Digital Content & Design, ServiceNow ANAND THARANATHAN — Group VP, Product Research & Insights, ServiceNow DANTLEY DAVIS — SVP of Design, ServiceNow ━━━━━━━━━━━━━━━━━━━━━━━━ CHAPTERS━━━━━━━━━━━━━━━━━━━━━━━━ 0:00 Introduction & Guest Intros 1:13 David: The AI Philosophy — ChatGPT as genuine inflection point 3:02 David: Economic viability — why AI unlocks what was never possible before 3:12 Anand: Three-person startups scaling to $100M+ 3:45 Dantley: From 3D Studio Max to Jarvis — AI as human superpower 6:29 Anand: The customer north star hasn't changed 7:10 David: Engineering's survival problem — the 100x production gap 8:32 David: Andrew Ng's PM-to-engineer ratio + the cost of building wrong 9:40 Dantley: Nine concepts in an hour — design velocity and discernment 12:04 Dantley: The hip-hop tastemaker — slowing down as part of the process 14:20 David: Content governance — the fox guarding the hen house 16:21 Anand: Trust and the human-AI system 17:20 Dantley: AI surprise — UI tech stacks, feature completeness & hidden tech debt 20:21 18-Month Close — Anand, Dantley & David ━━━━━━━━━━━━━━━━━━━━━━━━ KEY TAKEAWAYS ━━━━━━━━━━━━━━━━━━━━━━━━ • Engineering is the first function to see massive AI productivity gains — but that creates a gap every other function has to survive • The cost of building has dropped. The cost of building the wrong thing has climbed exponentially • Discernment is the bottleneck — not speed. Nine concepts in an hour still needs a tastemaker • AI quality is only as good as the content signals it receives — governance is not optional • The customer north star hasn't changed. AI just changes how fast you can move toward it • Customer value is the only metric that matters. Everything else is the path to it ━━━━━━━━━━━━━━━━━━━━━━━━ ABOUT THIS PODCAST ━━━━━━━━━━━━━━━━━━━━━━━━ Subscribe for new episodes on AI, product, engineering, and the future of work. #ServiceNow #AI #ArtificialIntelligence #ProductDesign #SoftwareEngineering #ContentGovernance #DesignLeadership #AIStrategy #ProductManagement #EngineeringLeadership #TechLeadership #FutureOfWork #ServiceNowInsights #MachineLearning #Innovation #DesignThinking #TechPodcast #AIProductivity #DigitalTransformation #CustomerValueSee omnystudio.com/listener for privacy information.

Engineering teams are building ten times — even a hundred times — more than they could two years ago. That's a win, but one not without challenges. Because the cost of building the right thing has climbed exponentially. In this episode of the ServiceNow Insights podcast, host Bobby Brill sits down with three leaders who are living this tension from three distinct angles: the content and design leader who first spotted the productivity math problem, the design VP pushing for discernment over speed, and the research lead keeping the human at the center. ━━━━━━━━━━━━━━━━━━━━━━━━IN THIS EPISODE ━━━━━━━━━━━━━━━━━━━━━━━━ DAVID HOARE — Group VP, Digital Content & Design, ServiceNow ANAND THARANATHAN — Group VP, Product Research & Insights, ServiceNow DANTLEY DAVIS — SVP of Design, ServiceNow ━━━━━━━━━━━━━━━━━━━━━━━━ CHAPTERS━━━━━━━━━━━━━━━━━━━━━━━━ 0:00 Introduction & Guest Intros 1:13 David: The AI Philosophy — ChatGPT as genuine inflection point 3:02 David: Economic viability — why AI unlocks what was never possible before 3:12 Anand: Three-person startups scaling to $100M+ 3:45 Dantley: From 3D Studio Max to Jarvis — AI as human superpower 6:29 Anand: The customer north star hasn't changed 7:10 David: Engineering's survival problem — the 100x production gap 8:32 David: Andrew Ng's PM-to-engineer ratio + the cost of building wrong 9:40 Dantley: Nine concepts in an hour — design velocity and discernment 12:04 Dantley: The hip-hop tastemaker — slowing down as part of the process 14:20 David: Content governance — the fox guarding the hen house 16:21 Anand: Trust and the human-AI system 17:20 Dantley: AI surprise — UI tech stacks, feature completeness & hidden tech debt 20:21 18-Month Close — Anand, Dantley & David ━━━━━━━━━━━━━━━━━━━━━━━━ KEY TAKEAWAYS ━━━━━━━━━━━━━━━━━━━━━━━━ • Engineering is the first function to see massive AI productivity gains — but that creates a gap every other function has to survive • The cost of building has dropped. The cost of building the wrong thing has climbed exponentially • Discernment is the bottleneck — not speed. Nine concepts in an hour still needs a tastemaker • AI quality is only as good as the content signals it receives — governance is not optional • The customer north star hasn't changed. AI just changes how fast you can move toward it • Customer value is the only metric that matters. Everything else is the path to it ━━━━━━━━━━━━━━━━━━━━━━━━ ABOUT THIS PODCAST ━━━━━━━━━━━━━━━━━━━━━━━━ Subscribe for new episodes on AI, product, engineering, and the future of work. #ServiceNow #AI #ArtificialIntelligence #ProductDesign #SoftwareEngineering #ContentGovernance #DesignLeadership #AIStrategy #ProductManagement #EngineeringLeadership #TechLeadership #FutureOfWork #ServiceNowInsights #MachineLearning #Innovation #DesignThinking #TechPodcast #AIProductivity #DigitalTransformation #CustomerValueSee omnystudio.com/listener for privacy information.

The most overhyped term in construction tech right now? "AI-native startup."That's the take from Geoff Lewis, SVP of Product Management at Procoreand co-founder of Honest Buildings (acquired by Procore), who joinedus on Bricks & Bytes to talk about how an incumbent fights back in theAI era.Tune in to find out about:✅ Why Procore says it has already neutralised the speed advantage of AI-native startups✅ The submittal-checking agent that collapsed weeks of review into hours✅ Geoff's five-year bet on autonomous agents running RFIs end to end✅ Inside Procore's new capital planning and portfolio suite built for owners

Most companies are adopting AI in the wrong order. They start with technology, hand everyone a chatbot, and hope productivity follows. According to Sriram Krishnasamy, that's how you amplify organizational chaos.Sriram led FedEx's DRIVE transformation, which delivered $4 billion in structural cost reductions, and founded FedEx Dataworks, the company's internal data and insights business. Drawing on decades of experience at the intersection of operations, logistics, and digital transformation, he argues that AI isn't just a technology—it's a field. And companies that treat it like a software rollout are missing the point.Join hosts Nick Paladino and Chuck Moxley as they explore Sriram's framework for becoming "AI ready" instead of trying to become "AI native." He breaks down his three-legged stool for transformation: business architecture, experience engineering, and technology. Most organizations start with technology. Sriram believes it should be the last thing you focus on.The conversation dives into how FedEx transformed data from 17 million daily shipments into actionable insights, why companies should chase business value instead of building massive data lakes, and how a predictive model originally designed to optimize network operations helped FedEx achieve a 99.8% service level during the critical COVID vaccine rollout. Sriram also challenges common assumptions about frictionless experiences. The best digital experiences aren't necessarily the most beautiful. They're the ones that understand context and empathy. His favorite example? The Amazon app. Not because of its design, but because it understands his workflow, anticipates mistakes, and adapts to his needs.Key Actionable Takeaways:Start with workflows, not technology – Before deploying AI, define how work actually gets done inside your organization and how your customers accomplish their goals. AI creates the most value when it's applied to well-understood workflows rather than layered on top of existing complexity.Chase business value, not data volume – Most companies don't need massive data lakes before they can create value. Focus on the 20% of data that drives 80% of outcomes, solve a real problem, and expand from there.Become AI ready, not AI native – Don't reinvent your company around AI. Strengthen your existing identity, clarify your goals, understand the people impacted by change, and then apply AI to improve what already makes your business valuable.Want more tips and strategies about creating frictionless digital experiences? Subscribe to our newsletter!https://www.thefrictionlessexperience.com/frictionless/ Download the Five Step Site Speed Target Playbook: http://bluetriangle.com/playbook Sriram Krishnasamy's LinkedIn: https://www.linkedin.com/in/sriram-krishnasamy-ab1679117/ Nick Paladino's LinkedIn: https://linkedin.com/in/npaladino Chuck Moxley's LinkedIn: https://www.linkedin.com/in/chuckmoxley/Chapters:(00:00) Introduction(03:14) FedEx Career Journey(05:35) Building Dataworks(08:24) Data vs Insights(11:20) Operations to Digital(14:03) Vaccine Distribution(19:57) Three-Legged Stool(22:03) Business Architecture(24:25) Experience Engineering(24:49) Technology Last(28:30) $4B Cost Reduction(29:15) AI and Cognitive Clarity(31:13) Corporate Identity(34:10) Becoming AI Ready(35:35) AI and Human Questions(37:15) Technology Tradeoffs(40:20) Frictionless Experiences(42:07) Where to Connect(42:25) Conclusion

Our guest today is Laura Burkhauser, CEO of Descript, the video editor that's been AI-native long before “AI-native” was something you put in a pitch deck. Laura's route to the CEO seat started as a customer. She loved the product enough to knock on founder Andrew Mason's door and ask to work on it. She joined to lead product, but only three years later she's succeeded the well-known founder and is running the company. Today, Laura is here to talk about both sides of that journey: finding peers and mentors when you're suddenly the most senior person in any room, and driving AI adoption across an org already known for AI in its product. In this episode, Laura shares: Her "tech acceptance framework" — the 4 stages from outright hostility to "rewired" — and how to figure out where YOUR team actually sits Why telling IC PMs that AI means 2x productivity just sounds like they're doing twice the work — and her “find the dream” reframe that actually gets real buy-in How Laura built Descript's AI philosophy around one principle: "Struggle with your art, not with your tools" and why she doesn't want anyone one-shotting their videos Plus the trap most companies are falling into right now: AI systems that walk out the door when the person who built them leaves, and how to make progress durable across your org Links LinkedIn: https://www.linkedin.com/in/burkhauser/ Descript: https://www.descript.com/ Resources What Got You Here Won't Get You There: https://www.barnesandnoble.com/w/what-got-you-here-wont-get-you-there-marshall-goldsmith/1112274786 Chapters 00:00 Intro 01:07: Laura's career journey: From fashion startups to finding her path to product 03:26: The "what got you here won't get you there" moment 4:05: Finding peers and mentors when you're the most senior person in the room 12:06: "Struggle with your art, not with your tools" — Descript's AI philosophy 15:04: AI as a derivative technology and the democratization of creativity 17:59: The tech acceptance framework: From hostile to rewired 18:50: Running AI hackathons and reimagining company systems 22:40: Pitfalls of AI adoption: Cost, durability, and automating broken systems 24:42: The two-by-two framework for getting your team AI-pilled 27:49: Conclusion Follow LaunchPod on YouTube We have a YouTube page! Watch full episodes of our interviews with PM leaders and subscribe! What does LogRocket do? LogRocket's Galileo AI watches user sessions for you and surfaces the technical and usability issues holding back your web and mobile apps. Understand where your users are struggling by trying it for free at LogRocket.com.Special Guest: Laura Burkhauser.

Some of the best conversations start at a dinner table.Last September, host Langston Clark welcomed product leaders and authors Oji and Ezinne Udezue into his San Antonio home for an intimate gathering. One of the guests that evening was Elisa Cuellar — a listener, entrepreneur, and founder of StorieCue — who walked away from that dinner inspired to stop sitting on her own big idea. That night lit a spark. This episode is the recorded continuation of that conversation.Oji, a former Chief Product Officer at Twitter, Calendly, and Atlassian, and managing partner of the Kernel Fund, and Ezinne, who has driven enterprise transformation at T-Mobile, Discovery Communications, Procore, and WP Engine, are the co-authors of Building Rocketships: Product Management for High Growth Companies. Together, they walk us through what separates builders who scale from those who stall — and why the fundamentals of product thinking matter now more than ever. With Elisa serving as guest co-host, the trio explores customer listening, the Shipyard Model of innovation, AI's role in product development, and what it means to build rocket ships when the infrastructure — and the capital — looks completely different than Silicon Valley. Whether you're a solo founder, a product leader, or someone who knows they have a rocket ship inside of them and just hasn't launched yet — this episode is for you. Topics covered: product management, startup growth strategy, AI tools for founders, customer listening, Shipyard Model, Kernel Fund, innovation in Africa, venture capital in emerging markets, product-market fit, Black tech leadership, entrepreneurship.Support the showhttps://www.patreon.com/c/EA_BookClub

In this session from DX Annual, Eleanor Millman, Senior Staff Product Manager, and Mina Tawadrous, Associate Director of Product Management at SiriusXM, share how their platform engineering organization developed a prioritization framework for platform engineering teams serving hundreds of developers across a complex cloud platform.They explain how they define and weight platform-specific impact factors, use developer data to refine priorities, and score projects more consistently. They also explore why prioritization debates often stem from conflicting, invisible, or outdated assumptions, and how SiriusXM began treating assumptions like code by documenting, versioning, and reviewing them in source control.Finally, they demonstrate how AI can surface assumptions, connect initiatives to existing knowledge, and support project scoring while keeping humans in the loop. Throughout the session, they offer a practical framework for making prioritization decisions more transparent, data-driven, and scalable. In this episode, we cover:(00:00) Intro(02:58) Building a platform engineering prioritization framework(04:59) The seven platform engineering impact factors(09:38) Using impact factors to score projects(13:11) Using developer data to refine priorities(16:33) Three ways assumptions fail (17:40) Assumptions as code (21:00) New problems created by assumptions as code(22:00) Using AI to surface assumptions(23:44) Building an AI-powered feedback loop(25:44) Inside the AI prioritization tool(28:18) Three steps to build your own framework(30:02) Q&A #1: Evaluating high-cost projects(31:30) Q&A #2: The cadence of iteration (32:10) Q&A #3: When the framework conflicts with a stakeholder's priorities(35:26) Q&A #4: Using the framework for non-developersReferenced:• AWS• Databricks• RICE: Simple prioritization for product managers• Designing developer experience surveys• GSB Preserve | View | The Curse of Knowledge

Sam Altman and Dario Amodei both published essays this week on the future of AI and what we must do so everyone benefits. One of them is literally titled "Our Plan." The other one has an actual plan.Kwaku and I dig into it all on this week's FAFO Friday. Plus — and this story isn't getting enough attention — according to New Scientist, two years ago Ukraine used fully autonomous “Terminator” drones that killed everything they saw. No human in the loop. Dead Russian soldiers. But rest assured, according to the drone-maker cited, it was just a one-off “test.” But how long until this is standard practice? And do we want that future? So, yeah, maybe we should get planning… ---Support Future Around & Find Out:* Follow Dan on LinkedIn https://www.linkedin.com/in/dblums/* Get the free newsletter: https://www.futurearound.com* Become a paid subscriber and help future proof FAFO! https://www.futurearound.com/upgradeMusic by Jonathan Zalben

Why does Product Marketing look so different in Europe, and why copying US playbooks often leads to the wrong outcomes?In this episode, I sit down with Rory, Product Marketing Director consultant, with 13+ years of experience in PMM, across top tech companies such as Google, YouTube and Pleo. Europe Isn't Silicon Valley: Together, we unpack what truly shapes Product Marketing in Europe today, and why this context is driving the rise of fractional PMM roles.In this conversation, you'll learn:

In this episode of The Product Podcast by Product School, Carlos González de Villaumbrosia sits down with Cristina Cordova, Chief Operating Officer at Linear, the product development system built for teams and agents. Linear raised $82 million in a Series C round in June 2025 at a $1.25 billion valuation. The company has been profitable since 2021, and serves over 20,000 paid business customers, from seed-stage startups to Fortune 100 enterprises, with a team of just 140 people. Before Linear, Cristina joined Stripe as one of its first employees, and led Platform and Partnerships at Notion.What you'll learn:Why keeping headcount intentionally lean is a strategic advantageReplacing traditional interviews with paid two to five-day projectsWhy PMs are the fastest-growing power users of agentic toolsKey takeaways:A small team is not a small business. Revenue, customers, and growth rate matter more than headcount.If you fully delegate your AI thinking, you lose your native understanding of how these products actually workAgentic workflows are now the default, not a feature. The companies that treat them that way will pull ahead.Credits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Cristina CordovaSocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

The damage from your Q1 goal doesn't show up until Q3, on someone else's dashboard, after the person who flagged it got fired.Part 2 of the Outcome Trap series. Brian and Om argue why you can't see the trap from inside it: second-order effects land too late to trace, the people who spot trouble get removed, and the truth fractures across team dashboards until nobody owns the whole picture. By the end you'll have questions to ask before any number you set quietly destroys the business.Listen or watch as we discuss and debate:Why Goodhart's Law turns every new leading indicator into another surface to gameHow Sears split into 40 competing units and imploded while every department hit its OKRsThe Wells Fargo whistleblower fired for 'tardiness' eight days after calling the ethics hotlineWhy Deming's 1986 warning to eliminate numerical goals got ignored for forty yearsTwo questions to ask before setting any targetIf you've ever been in a company where every conceivable metric was green while the business slowly bleed out, this podcast is for you!.#OKRs #Deming #GoodhartsLawW. Edwards Deming (Out of the Crisis, The New Economics), Goodhart's Law, Peter Senge The Fifth Discipline, The People's Republic of Walmart, Sears (Eddie Lampert), Wells Fargo (Bill Bado), Frances Haugen Facebook testimony, Careless People by Sarah Wynn-WilliamsLINKSYouTube: https://youtu.be/BuWgxH8VpRISpotify: https://open.spotify.com/show/362QvYORmtZRKAeTAE57v3Apple: https://podcasts.apple.com/us/podcast/agile-podcast/id1568557596INTRO MUSICToronto Is My BeatBy Whitewolf (Source: https://ccmixter.org/files/whitewolf225/60181)CC BY 4.0 DEED (https://creativecommons.org/licenses/by/4.0/deed.en)

This time we're diving into a problem almost every product team has felt but rarely names: all the customer research you've already done… and then quietly forgotten. In this episode, Jacob Burghardt joins Matt and Moshe to talk about his new book Stop Wasting Research: Maximize the Product Impact of Your Organization's Customer Insights and how to turn research from a one‑off activity into a real product asset.Drawing on his path from early dot‑com research and UX work through consulting and a principal PM role at Amazon, Jacob shares why teams keep re‑running the same studies, ignoring past insights, and treating “research” as a meeting on the calendar instead of an input into every major decision. His book offers a big‑tent definition of research, which includes UX, market, data science, CS insights, and more, and a practical playbook for making all of it usable, visible, and integrated into product work.Join Matt and Moshe as they explore with Jacob:How he moved from hands‑on research and design into product management, and why he stayed obsessed with the problem spaceWhat “research” really includes today (far beyond user interviews or dashboards)Why so much research gets wasted and the three root causes behind it:Research isn't prepared for future useStakeholders aren't motivated to careInsights aren't integrated into planning, processes, or leadership ritualsA step‑by‑step structure from the book:Taking inventory of the research you already haveDiagnosing root causes in your orgChoosing from a “menu” of tactics that fit your contextWhat good looks like: strong operating models, clear places for research to plug in, and researchers treated as builders of internal productsHow smaller orgs without Product Ops can get started: simple visibility, mapping who's doing what research, and basic communication channelsThe link between org mindset (feature factory vs. empowered teams) and how seriously research is usedPractical ideas for connecting research to go‑to‑market, pricing, packaging, CS, and sales enablementHow AI is changing the research landscape, where it helps and where human judgment is still essentialAnd much more!Want to learn more or get the book?Book: https://rosenfeldmedia.com/books/stop-wasting-researchIntegrated Research: https://www.integratingresearch.com Medium: https://medium.com/@jakeburghardt LinkedIn: https://www.linkedin.com/in/jakeburghardt You can also connect with us and find more episodes:Product for Product Podcast: http://linkedin.com/company/product-for-product-podcastMatt Green: https://www.linkedin.com/in/mattgreenproductMoshe Mikanovsky: http://www.linkedin.com/in/mikanovskyNote: Any views mentioned in the podcast are the sole views of our hosts and guests, and do not represent the products mentioned in any way.Please leave us a review and feedback ⭐️⭐️⭐️⭐️⭐️

In this episode, Nithiya Parameswaran, VP of Product Management at Emerson | AspenTech, discusses how Industrial AI is reshaping Asset Performance Management, moving it beyond traditional monitoring toward predictive insights, faster maintenance action, and greater scalability across the enterprise.

Rajiv Pant thinks of AI as an Iron Man suit for the mind. Something you put on. That you fuse with. That takes you to greater heights — but could also make you incredibly dizzy and be very dangerous if you, the human, don't stay in control of it.Rajiv sees successful collaboration with AI as a “synthesis.” And to that end, he's building a series of skills and methodologies for synthesis engineering, coding, writing and project management. In this episode, Rajiv explains why synthesis engineering is a kind of middle ground between vibe coding and agentic engineering. It's a method for human-AI collaboration that helps builders go faster while not falling into the trap of letting AI do the things we humans ought to own. i.e. The architecture. The judgment. The thinking and learning. Rajiv is an engineering and product leader with deep experience in media. He's held senior roles at the Wall Street Journal, Hearst, and the New York Times (where he and I first met). Today he's the president of Flatiron Software. Rajiv has open-sourced all of his Synthesis methodologies and he and I also discuss why open source is so important as we increasingly turn to AI to sharpen our thinking. Can we really trust a system we don't understand? Would Tony Stark have trusted his suit if he didn't know how it was built? Chapters:(00:00) - Iron Man suit for the mind (02:11) - What goes wrong when you vibe code into production (04:20) - What synthesis coding looks like hands on keyboard (05:40) - What AI code slop looks like (08:30) - The unexpected joy of managing a team of agents (11:00) - Using AI as a thinking partner without outsourcing your thinking (15:30) - How a non-programmer built a better version of his own software (18:15) - Is your use of AI making you dumber? (23:26) - Trusting AI when it's a black box (27:11) - If Tony Stark owned your suit, would you trust it? (28:26) - What AI does to the economics of open source Support Future Around & Find Out:* Follow Dan on LinkedIn https://www.linkedin.com/in/dblums/* Get the free newsletter: https://www.futurearound.com* Become a paid subscriber and help future proof FAFO! https://www.futurearound.com/upgrade

Marty Cagan joins Carmen Palmer for this episode in our monthly series, In The Lead. Marty is a renowned product executive and author, and is widely considered a thought leader in the field of Product Management. He is the founder of the Silicon Valley Product Group (SVPG), where he advises companies on how to create successful products using the practices of world-class tech organizations. Marty is the author of influential books on the topic of product management and product teams including Inspired: How to Create Tech Products Customers Love Empowered: Ordinary People, Extraordinary Products.Transformed: Moving to the Product Operating Model Recently Marty and the team at Silicon Valley Product Group (SVPG) have been exploring the use of AI LLMs as product coaches. As always Marty has strong views on the adoption of AI technology enabling true product builders, the increasing importance of true empowered product managers, and how AI Models can assist in the transition by coaching PMs and Product Leaders..In The Lead is a monthly series on Product Rising sharing thought provoking conversations with a wide range of industry leaders hosted by Carmen Palmer, CEO of Women In Product. Your AI Product Coach00:00 Reckoning for Product03:11 GenAI Changes the Stakes07:11 Feature vs Empowered Teams09:57 Build to Learn vs Earn12:18 Prototyping Tools Boom13:37 New PM Litmus Test16:05 Why Coaching Fails20:57 AI Coaching Tipping Point23:58 Prompting for Product Model27:30 Load Strategic Context28:19 Strategic Context Inputs29:23 Project Model Prompts30:52 AI Coaching Limits34:58 Why Humans Still Matter38:42 What Coaching Looks Like39:25 Building Product Sense Fast42:01 Frameworks For Real Work45:23 Adoption Curve Reality49:13 Career Advice And Wrap

In this episode, we sit down with Daniel Thulfaut, Head of Product at saas.group, one of Europe's most active SaaS acquirers. With 24 companies in the portfolio and more than €100M in ARR, Daniel has a unique perspective on how product organizations are evolving in the age of AI. We discuss why many product managers have spent the last decade acting as backlog managers rather than true product leaders, and why AI is now forcing a return to the fundamentals of product management: customer understanding, strategic thinking, prioritization, and decision-making. We also explore why "good enough" products are becoming easier than ever to build, why that raises the bar for SaaS companies, and what legacy SaaS businesses must do to stay competitive against a new generation of AI-native startups. Topics we cover include: • Why the traditional product manager role is changing rapidly • The difference between backlog management and real product leadership • Why AI makes customer discovery more important, not less • Why legacy SaaS companies struggle to realize the promised 10x AI productivity gains • The rise of the "product engineer" and what it means for teams • How feature flags, experimentation, and faster feedback loops change product development • Why shipping more features is not the same as creating more value • What CEOs and CPOs should do right now to prepare their product organizations for the future • Why understanding customer problems remains the most valuable skill in product management One of the most interesting takeaways from the conversation is that AI is not replacing product thinking. If anything, it's making it more valuable. When building becomes easier, deciding what to build becomes the real competitive advantage. If you're a founder, CEO, CPO, product leader, or anyone trying to navigate the future of SaaS, this episode is packed with practical insights and plenty of food for thought.

This episode features Geoffrey Mattson, CEO of SecureAuth, joined by co-host Sarah Cicchetti, Director of Product Management at Semperis.Geoffrey has spent decades building and leading companies at the intersection of AI and cybersecurity, including MistNet.ai, an AI-native threat detection platform acquired by LogRhythm, and Xage Security, where he drove zero trust adoption across the U.S. military, global energy firms, and Fortune 500 enterprises. At SecureAuth, he leads a platform built around continuous, real-time identity authority across workforces, APIs, and AI agents.In this episode, Geoffrey argues that agents combine the speed of automation with the unpredictability of humans, making real-time per-action authorization the only viable control model. He discusses why “friendly fire” from well-meaning employees is the biggest threat vector right now, how MCP vendors are ignoring their own OAuth spec, and what a practical agent rollout with real guardrails actually looks like.This episode reframes authorization as the problem the identity industry has been deferring for years and can no longer avoid.Guest Bio Geoffrey Mattson is a serial entrepreneur and globally recognized cybersecurity and AI executive with decades of experience building market-defining companies and technologies that protect the world's most critical systems.He is currently CEO of SecureAuth, a leader in AI-driven identity and access management with its Continuous Authority, ensuring ongoing verification across workforces, customers, APIs, and AI agents. This is enabled through its Private Authority Platform, which puts authentication and authorization under your control through any deployment model (cloud, on prem, hybrid, air-gapped).Prior to SecureAuth, Mattson served as CEO of Xage Security, where he led the company in Zero Trust for critical environments from energy to agentic AI. Under his leadership, Xage achieved rapid adoption across the U.S. military, global energy firms, and Fortune 500 enterprises.Previously, Geoffrey Mattson was co-founder and CEO of MistNet.ai, an AI-native threat detection platform acquired by LogRhythm. He pioneered decentralized analytics and machine learning approaches for real-time cyber defense, and later served as SVP of Product at LogRhythm, driving global expansion and shaping the next generation of SIEM/SOAR solutions.Earlier, he held senior executive roles at Juniper Networks, overseeing a $2B product portfolio and leading major M&A efforts, and at Huawei Technologies as SVP and CTO for networking and data center platforms. His engineering leadership at Corona Networks, Caspian, and Bay Networks helped build foundational technologies in network and security architecture.Guest Quote “With agents, you have the power and the speed of an automated process with the unpredictability of a human. And in fact, we are seeing their behavior and their psychology makes them even perhaps less predictable than a human.”Time stamps 01:45 Meet Geoffrey Mattson: Serial Entrepreneur and Cybersecurity Executive 02:40 Why Identity Is Having a Moment 08:40 Defining Agent Identity 12:15 Behavioral Guardrails for Agents 14:37 Agent Identity Lifecycle 17:36 Just-in-Time vs. Standing Privilege 18:02 C-Suite Pressure and Friendly Fires 21:00 When Agents Live Off the Land 26:12 MCP, OAuth, and Token Pitfalls 28:04 Threat Models and Rollout Strategy 30:13 LLMs and Policy Authoring 31:23 Conclusion and Final ThoughtsSponsor The HIP Podcast is brought to you by Semperis, the leader in identity-driven cyber resilience for the hybrid enterprise. Trusted by the world's leading businesses, Semperis protects critical Active Directory and Entra ID environments from cyberattacks, ensuring rapid recovery and business continuity when every second counts. Visit semperis.com to learn more.LinksConnect with Geoffrey on LinkedInConnect with Sarah on LinkedInConnect with Sean on LinkedInDon't miss future episodesLearn more about Semperis

AI Won't Kill Websites or Email; It Will Transform ThemIn this clip, Adam Harmetz, VP of Product Management at Microsoft, shares a balanced perspective on AI's impact on digital experiences

It's that time of year, muzzle time. We speak with Kara Robinson of GG Equine about when and why you should be using a muzzle with your horse/pony/mini. Coach Jenn tells us about a chew stop that finally worked for James and Jamie does her annual lesson on training for the 4th of July. Listen in….HORSES IN THE MORNING Episode 3967– Show Notes and Links:Hosts: Jamie Jennings of Flyover Farm and Glenn the GeekJamie and Glenn's Amazon StoreTitle Sponsor: WERM FlooringPic Credit: GG EquineGuest: Kara Robinson, Director of Product Management & Customer Success, GG EquineGuest: Coach Jenn of Horse Tip Daily on Rap Last, chew stop that actually worksSponsor: ClariFly LarvicideAdditional support for this podcast provided by: Equine Network and Listeners Like YouTime Stamps: 02:02 - Belmont recap & Golden Tempo04:41 - Daily Whinnies07:18 - Tick bites & health chat12:05 - Screwworm outbreak & sterile flies15:21 - Kara from GG Equine: why muzzles23:40 - Muzzle fit, sizes, inserts & coupon30:36 - Chewing problems & Rap Last39:26 - Fireworks training with balloons

It's that time of year, muzzle time. We speak with Kara Robinson of GG Equine about when and why you should be using a muzzle with your horse/pony/mini. Coach Jenn tells us about a chew stop that finally worked for James and Jamie does her annual lesson on training for the 4th of July. Listen in….HORSES IN THE MORNING Episode 3967– Show Notes and Links:Hosts: Jamie Jennings of Flyover Farm and Glenn the GeekJamie and Glenn's Amazon StoreTitle Sponsor: WERM FlooringPic Credit: GG EquineGuest: Kara Robinson, Director of Product Management & Customer Success, GG EquineGuest: Coach Jenn of Horse Tip Daily on Rap Last, chew stop that actually worksSponsor: ClariFly LarvicideAdditional support for this podcast provided by: Equine Network and Listeners Like YouTime Stamps: 02:02 - Belmont recap & Golden Tempo04:41 - Daily Whinnies07:18 - Tick bites & health chat12:05 - Screwworm outbreak & sterile flies15:21 - Kara from GG Equine: why muzzles23:40 - Muzzle fit, sizes, inserts & coupon30:36 - Chewing problems & Rap Last39:26 - Fireworks training with balloons

President Trump signed an executive order this week that “voluntarily” invites AI makers to share their most advanced models with the government thirty days before a wider release. Specifically, the NSA will be reviewing these models for cybersecurity threats. So what's this executive order mean for AI regulation? How voluntary is this really? Do we want the NSA involved? And what other forms of review may come next? And, related: NOTUS reports that federal officials are in talks with Sam Altman and other AI leaders about the US government stock in these companies. This comes as Sen. Bernie Sanders on the left and Steve Bannon on the right are both calling for the government to own 50% of the AI companies, with the American people getting dividends. So, should the government be regulating AI? Should it own AI? And should it both regulate and own AI? It's strange bedfellows all around…Kwaku and I get into on the latest FAFO Friday. Plus, we explore the concept of “cognitive uploading,” which Google NotebookLM's co-founder Steven Johnson divined in this week's interview (and subsequently blogged about). As we work with AI, we need to draw lines on what we will task it with and what we won't. And the lines are all over the place right now, which is a perfect jumping off point to future around and find out… ---Future Around & Find Out newsletter and more: https://www.futurearound.comMusic by Jonathan Zalben

Product managers are FORGETTING that they're problem solvers. Today, we're talking to Marty Cagan, product management author and founder of the Silicon Valley Product Group. We discuss why most tech companies are unknowingly running a model that almost guarantees shipping things that don't matter, how AI is simultaneously exposing and accelerating that problem, why the real bottleneck was never your engineers, and how large language models might finally solve the product coaching gap that's held back a generation of product people. All of this right here, right now, on the Modern CTO Podcast!  To learn more about Marty, connect with him on LinkedIn.

Traditional Product Management Is Ending in 2026For years, product management followed a familiar playbook.Gather requirements. Write PRDs. Prioritise backlog. Run sprint rituals. Coordinate across teams. Ship features.That model worked in a world where building software was slow, expensive, and engineering bandwidth was the biggest constraint.But in 2026, that world is changing fast.AI is reducing execution time. Prototypes can be built in hours. Research can be synthesized in minutes. Code generation is accelerating delivery. Design iterations are faster than ever.Which means something important is happening:Traditional product management, built around coordination and process, is losing relevance.And a new version of product management is taking its place.How to connect with AgileDad:- [website] ⁠⁠⁠https://www.agiledad.com/⁠⁠⁠- [instagram] ⁠⁠⁠https://www.instagram.com/agile_coach/⁠⁠⁠- [facebook] ⁠⁠⁠https://www.facebook.com/RealAgileDad/⁠⁠⁠- [Linkedin] ⁠⁠⁠https://www.linkedin.com/in/leehenson/

How the 90s favorite $4 billion bookstore chain sleepwalked into bankruptcy...

Summer heat can be tough on RVs.If you've ever wondered why your RV air conditioner struggles to keep up, why your refrigerator doesn't seem as cold as it should be, or what you can do to improve performance during hot-weather camping, this episode is for you.Mike and Jennifer welcome Will Troyer, Director of Product Management for GE Appliances' Recreational Living Division, for an in-depth conversation about RV cooling systems.Will explains how RV air conditioners and refrigerators work, why they perform differently than residential appliances, and what RVers can do to stay comfortable and keep food safe when temperatures climb.Along the way, Mike and Jen answer listener questions, share practical summer RV tips, and announce the release of their brand-new North Carolina RV Travel Guide.You'll come away with useful, actionable advice that can help make your summer travels cooler, safer, and more enjoyable.Free Daily RV Newsletter:RVLifestyle.com/newsletterNorth Carolina RV Travel Guide:RVLifestyle.com/NorthCarolina

Anthropic just closed a $65 billion Series H round at a valuation approaching one trillion dollars — and has crossed $30 billion in annualized revenue, driven largely by enterprise demand. Claude Code alone became generally available in May 2025 and reached $2.5 billion in annualized revenue in February 2026, with that figure more than doubling since the beginning of 2026. Meaghan Choi, Head of Design for Claude Code and Cowork at Anthropic, was in that room. This conversation goes inside the operating model behind that growth.What you'll learn:Claude Code's evolution from an internal feature into one of the fastest-growing revenue products in historyAnthropic's secret sauce to shipping products at an incredibly high cadence while ensuring qualityHow product teams get structured into small pods of 5 AI Builders and a fleet of agents, where non-engineers ship code into productionDriving enterprise adoption through PLG from technical teamsHow organizations can measure AI ROI beyond AI adoption and token usageDesigning user interfaces for agentic capabilities, including CLIKey takeaways:Titles and role boundaries matter less than contribution. At Anthropic, designers ship code and engineers design, and the pod owns the output collectively.Quality gates have moved downstream. The richest product learnings come from working software, not from reviewing mocks or PRDs.Managing a team now means managing both people and a fleet of AI agents. The skills are more similar than they appear.Credits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Meaghan ChoiSocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

Episode SummaryIn this season premiere of Lessons in Product Management, John Fontenot introduces a new direction for the podcast - one focused on the intersection of artificial intelligence, product management, go-to-market strategy, product-market fit, and organizational alignment.While AI is transforming how products are built and launched, many organizations are discovering that faster execution doesn't automatically lead to better outcomes. In fact, AI often exposes existing weaknesses in strategy, communication, and cross-functional alignment. This episode introduces the concept of the Product-Market Gap: the disconnect between what organizations build, what customers need, and how products are brought to market.John shares why this gap exists, how AI is amplifying it, and why the future belongs to organizations that can align product, marketing, sales, and operations around a common understanding of customer value. Throughout this season, listeners can expect conversations on AI product management, product-market fit, go-to-market execution, category creation, product marketing alignment, product operations, and the evolving role of the modern product leader.Whether you're a product manager, founder, product marketer, GTM leader, or executive navigating the AI era, this season will provide practical lessons and strategic insights for building products, and organizations, that can thrive in a rapidly changing landscape.

The thing everyone agrees is the right way to work has quietly produced some of the worst corporate ethics violations in modern history.Product Manager Brian Orlando and Enterprise Business Agility Leader Om Patel discuss and debate how outcome-based goals can and often do go catastrophically wrong - from Facebook to Wells Fargo - and introduce a stakeholder outcome mapping tool you can use immediately.Listen or watch to understand:How outcome-based OKRs quietly enable the worst ethics failuresThe invisible gorilla experiment which illustrates how goals function as mental blindersThe headlines test for stress-testing your goalsA stakeholder outcome mapping exercise to surface hidden tradeoffsWhy the system doesn't need evil people - just good people with bad incentivesThis podcast is for anyone who is looking to understand how the efforts of well-meaning and "not-evil" people can and often does go off the rails. It may also be tangentially useful to leaders who are tired of pretending outcome goals are automatically ethical... but you first must WANT to change....and if you do like this one, get ready for a Part 2 next where we'll discuss WHY the damage from outcome-based goals is often invisible until it's too late, why organizations systematically destroy whistleblowers, and what Deming figured out decades ago that the tech industry still ignores!#ProductEthics #OKRs #ProductManagementState of Product 2026 by Atlassian, Careless People by Sarah Wynn-Williams, Facebook's Ethical Failures Are Not a Bug They Are a Feature by Betty (2021), Invisible Gorilla Experiment, Locke and Latham Goal Setting Theory, DemingLINKSYouTube: https://www.youtube.com/@arguingagileSpotify: https://open.spotify.com/show/362QvYORmtZRKAeTAE57v3Apple: https://podcasts.apple.com/us/podcast/agile-podcast/id1568557596INTRO MUSICToronto Is My BeatBy Whitewolf (Source: https://ccmixter.org/files/whitewolf225/60181)CC BY 4.0 DEED (https://creativecommons.org/licenses/by/4.0/deed.en)

At Cisco Live, I sat down with Papi Menon, Vice President of Product Management at Outshift by Cisco, to explore one of the most ambitious ideas emerging in the AI world today. While much of the industry remains focused on larger models and individual AI agents, Outshift is asking a different question. What happens when millions of AI agents need to collaborate across organizations, platforms, and industries? Papi joined me to explain the thinking behind Outshift, Cisco's emerging technology and incubation group, and the work they're doing to help shape the next era of AI. Our conversation explored concepts such as the Internet of Agents, the Internet of Cognition, and AGNTCY, an open-source initiative designed to create the foundations for agent-to-agent collaboration at scale. We discuss why connecting AI agents is only the first step, why shared intent and shared context could become as important as connectivity itself, and how organizations may need entirely new infrastructure to support an increasingly agent-driven future. Papi also shares his perspective on the challenges of interoperability, governance, trust, and security as AI systems become more autonomous and interconnected. The discussion moves beyond today's AI headlines and into the bigger questions facing the technology industry. If the internet connected people and systems, what infrastructure will be needed to connect intelligence itself? And what role can open standards play in ensuring that future remains collaborative rather than fragmented? Whether you're a technology leader, developer, strategist, or simply curious about where AI is heading next, this conversation offers a fascinating glimpse into how Cisco is thinking about the future of agentic computing and the foundations that may underpin the next major platform shift in technology. How do you think AI agents will collaborate in the future, and should that future be built on open standards or closed ecosystems?

How a Unified Communication System Empowers Employees and Delights Customers  Shep interviews Damon Covey, General Manager of Unified Communications and Collaboration at GoTo. He talks about the importance of tailored, unified communication systems that reduce friction for both employees and customers.  This episode of Amazing Business Radio with Shep Hyken answers the following questions and more:    What advantages do unified communications bring to customer service?  How does integrating multiple channels enhance customer experience?  Why is minimizing friction important for trust and loyalty in service?  What are the disadvantages of generic versus tailored communication tools?  How can automation and AI improve customer support interactions?  Top Takeaways:    The "swiveling chair" problem hurts both customers and employees. Integrating all communication channels into a unified system prevents employees from constantly switching between programs, improving their workflow and eliminating unnecessary friction for customers.   Employees can't provide amazing customer service if they are using slow, broken, or outdated systems. Most of the time, customers are frustrated not because of the person helping them but because of the tools that make solving the problem more complicated.  Fragmented experiences erode customer trust. Whenever a customer has to repeat themselves or start over every time they switch between modes of communication (chatbot, email, phone, etc.), trust drops. Unified systems provide smooth experiences where the next agent knows what happened before and the best tools to help the customer are within easy reach.  Follow the journey that your customers prefer. Businesses need to adapt their communication channels and technology based on what their customers actually want to use. Meet the customers where they are, whether through traditional phone calls, emails, or digital messaging.  Plus, Shep and Damon discuss generational preferences in communication and how unifying these options can improve the customer experience. Tune in!  Quote:   "If you're building everything for everyone, you're special for no one."  About:    Damon Covey is the General Manager of Unified Communications and Collaboration (UCC) at GoTo. Before joining GoTo in 2021,  he served as Vice President of Product Management at Cox Automotive and spent 14 years in leadership roles at cybersecurity company Symantec.  Shep Hyken is a customer service and experience expert, New York Times bestselling author, award-winning keynote speaker, and host of Amazing Business Radio.  Learn more about your ad choices. Visit megaphone.fm/adchoices

Steven Johnson dreamed of building the ultimate research assistant. Now he's doing just that at Google, where he's the co-founder and editorial director of NotebookLM.It's one of the most interesting AI products out there. It radically changes how we learn, research, and remember — and the "notebook" itself is becoming a standard unit of knowledge across Google, rolling out in more and more places where AI needs to reference a body of sources.In this episode, the author of _Where Good Ideas Come From_ explains how AI is making him a better researcher and writer — and why tools like NotebookLM are so powerful when you're trying to make new connections, remember what you've already found, and figure out what's missing.There's a lot of fear right now that AI is making us dumber. That by relying on it too much, we're engaging in "cognitive offloading" and stunting our learning. That's a real risk, especially in schools.But Steven says we should also be talking about what you can gain from AI — and the power of something he calls "cognitive uploading."Resources:* Google NotebookLM: https://notebooklm.google/* Steven Johnson: https://stevenberlinjohnson.com/Support Future Around & Find Out:* Follow Dan on LinkedIn https://www.linkedin.com/in/dblums/* Get the free newsletter: https://www.futurearound.com* Become a paid subscriber and help future proof FAFO! https://www.futurearound.com/upgrade(00:00) - If you are interested in truly understanding something, this is the greatest time to be alive (01:25) - Steven's controversial NYT piece and the cold call from Google Labs (02:55) - Who NotebookLM's power users are (04:40) - The notebook as a new format for knowledge (06:20) - Featured notebooks: earnings reports, Shakespeare, and Dungeons & Dragons (11:00) - Writing a book about the Gold Rush with NotebookLM (13:20) - Four weeks of research in 14 minutes (16:30) - Following serendipitous connections through the source material (17:50) - Cognitive offloading and the illusion of understanding (21:00) - How Steven actually writes with AI (24:30) - Paragraph by paragraph: a new kind of writing (26:55) - Do readers need to know AI helped write it? (28:55) - Where good ideas come from in the age of AI (31:56) - Searching the negative space (33:56) - The adjacent possible: custom software for everyone (37:01) - NotebookLM for nonprofits and small organizations (39:06) - Tens of thousands of quotes, 25 years of forgetting (40:56) - "It's cognitive uploading"

The conversation around AI in education is changing fast, and the latest GSV Learning and Earning Forecast now identifies trust as the factor that will determine the near-term future of AI in the classroom. In this episode, we explore the “AI trust gap” forming between the people racing to expand AI in schools and the educators, parents, and students who are starting to push back. Through discussions with educators, school leaders, learning science researchers, analysts, ed tech developers, AI vendors, and non-profits across the community, we zoom in on the hard questions surrounding AI's future in education. What happens when innovation starts moving faster than trust? What is required to bridge the gap? Who is working on solutions? What's working? Sources: Forecast for Learning & Earning in 2025-2026 | Digital Promise | Learning Commons | Surgeon General's Office Advises Schools to Limit Screen Time | Teachers and parents weigh benefits and risks of artificial intelligence in schools | Do AI's risks outweigh the benefits for students and schools? | Fostering Trust in the Age of AI | GSVtv | The Next AI Maturity Curve – Orchestration, Trust, and Scale | AI is Air: Ambient AI in Every Breath, Step, and Swipe | GSVtv | Lincoln High students swap screen time for study time after phone ban | How to Choose Safe and Effective Classroom Technology | More Students Boo AI at Commencement Nick Melvoin, a Los Angeles Unified School District (LAUSD) board member who recently drafted a resolution to restrict student screen time in classrooms. Sandra Liu Huang, Head of Education & Product at CZI and president of Learning Commons. Jean Claude Brizard– President and CEO of Digital Promise. Jeremy Roschelle– Executive Director of Digital Promise's Learning Sciences Research team. Melissa Loble, Chief Academic Officer, Instructure. Patrick Gittisriboongul, Ed.D., Superintendent of Lynwood Unified School District. Justin Reich, Director of Teaching Systems Lab at MIT. Jennifer Lee Partner GSV Ventures. Muktha Ananda– Google's Director of Engineering. Robert Wong, Google's Director of Product Management. Brian Carslon, CEO, Storytime AI.Tim Sanders, Chief Innovation Officer at G2 and Executive Fellow at Harvard. Chris Hamatake, parent. Rebecca Winthrop, Senior Fellow and Director of the Center for Universal Education at Brookings. Dr. Eugene Kim, Professor of Education at Concordia University.

One frustrating thing about hospitality: guests want to research rooms visually, but most hotel websites don't include video. When hotels force guests to imagine a room, they simply move on. So I talked with Jason Craparo, CEO of hovr, and Ethan Wiseman, VP of Product Management at aven hospitality, about what hotels can do right now to fix that disconnect.

Meet Inovalon at HFMA 2026 in booth 131 On this episode Tom sits down with Michael Dale, Director, Product Management at Inovalon, a company that delivers a fully connected revenue cycle spanning from patient access through final remittance for all payers. The result is a revenue cycle that doesn't just process claims, it comes together to prevent denials, recover missed revenue, and speed up cash flow. Michael shares insights on why they participate at HFMA conferences and what to see in their booth. To stream our Station live 24/7 visit www.HealthcareNOWRadio.com or ask your Smart Device to “….Play Healthcare NOW Radio”. Find all of our network podcasts on your favorite podcast platforms and be sure to subscribe and like us. Learn more at www.healthcarenowradio.com/listen

In this episode, we explore how professional services organizations can reduce project unpredictability by closing the gap between scoping, pricing, and delivery. Banoo sits down with Anish Udayakumar, Senior Vice President of Product Management and Customer Experience at Provus, for a thoughtful conversation on why projects that start with strong plans and healthy margins often end up facing scope creep, resource constraints, margin erosion, and delivery risk.Topics discussed in this episode include:Why margin erosion often goes unnoticed until late in the project lifecycleHow disconnected sales, delivery, operations, and finance workflows create unpredictable outcomesWhy resource availability, skill alignment, and capacity planning should be incorporated earlier in the quoting processHow unified data, AI, and historical project insights can improve scoping accuracy, pricing confidence, and delivery predictabilityLearn more about Provus at https://provus.ai/ Hosted on Acast. See acast.com/privacy for more information.

Understand how to close the gap between AI experimentation and enterprise production. Shub Agarwal, Founder of the AI Trust Lab at USC and author of Successful AI Product Creation: A Nine-Step Framework, shares his AI product management framework for taking enterprise AI strategy from demo to production, drawing on two decades of product leadership at Amazon and Fortune 50 firms. He breaks down why experimentation must tie directly to business OKRs, the four mindset shifts leaders need to scale AI responsibly, and how the AI Trust Lab is building a benchmark evaluation framework for AI model trust and governance. Key Moments: Why 80% of AI Projects Never Reach Production (02:13): Shub traces the root cause of stalled AI programs to a missing system for moving from demo to deployment. Most teams have no repeatable path to production. Shub's Nine-Step Framework for Building AI Products (06:00): Most AI projects start with a cool model instead of a painful problem. Shub walks through the three phases of his framework: discovery, execution, and excellence. The Case Against "Fix Your Data First" (12:41): Conventional wisdom says clean your data before building AI. Shub challenges that, arguing modern LLMs offer far more flexibility with imperfect data. Four Mindset Shifts for Scaling Enterprise AI (16:35): Shub outlines the four shifts separating organizations that scale AI from those that stall, from measuring AI performance differently to embedding trust from day one. Inside Shub's AI Trust Lab at USC (23:54): Major foundation models are already being benchmarked on trust and safety. Shub explains the lab's mission to build a standardized evaluation framework for AI model governance. Why Enterprise AI Governance Needs Multiple Disciplines (28:36): AI models can be sycophantic, manipulative, or lack candor. Shub argues that building trustworthy AI demands an interdisciplinary approach. Key Quotes: “I think the fundamental problem that organizations are facing today… is not that they have a lack of experimentation in the demo aspect. The challenge is they don't know how to take those demos to production, and that is where I saw the gap.” - Shub Agarwal “I do think data is the fuel for AI… But I think today organizations are crippled by this ‘fix your data, and then we'll build AI', and they never build AI. They never build use cases that are adding value.” - Shub Agarwal “There's no FICO scores for models, so I decided to create one. I built this lab… bringing the computer scientists, the researchers, the applied AI researchers, the policy, and the communication people together to think of what is trust, define it, and ultimately measure and evaluate it.” - Shub Agarwal Mentions USC AI Trust Hub Successful AI Product Creation: A Nine-Step Framework by Shub Agarwal Four Steps to Epiphany: Successful Strategies for Products That Win by Steve Blank Masters of Scale podcast with Reid Hoffman Guest Bios  Shub Agarwal is an associate professor of professional practice at the University of Southern California, an industry executive, and an advisor to start-ups and academic institutions. He holds an MBA from the University of California, Los Angeles (UCLA), and an MS from Carnegie Mellon University (CMU). He is the author of two books: Solve Catch-22 of Product Management and Successful AI Product Creation: A 9-Step Framework. He has made significant contributions to the fields of artificial intelligence and machine learning, holding several U.S. and global patents for his work, and is also a published author of several technical research papers. With around two decades of extensive experience in product management and leadership, his journey has been marked by a relentless pursuit of leveraging AI technologies to create impactful products that redefine industry standards. His industry experience includes leadership roles at Amazon, Silicon Valley start-ups, and other Fortune 50 firms. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

In this Watson Weekly interview episode, Rick Watson is joined by Lennart Stevens, VP of Product Management for Agentforce Commerce at Salesforce, who walks through Storefront Next, the latest evolution of Salesforce's commerce storefront.Storefront Next is built for developers and for a world where AI and agentic coding are the default. You can spin up a new storefront inside Business Manager with a click-based setup. Under the hood it runs on Salesforce's Managed Runtime as a hosted headless surface, with an enhanced SCAPI layer that lets apps, kiosks, and other channels pull from the same data. The stack standardizes on React, Shadcn, and Tailwind. Existing customers keep their catalogs, prices, and promotions and surface them through the new API.The Watson Weekly interview is sponsored by Avalara - the agentic AI platform automating global tax and compliance for leading eCommerce brands. For more details: https://avalaratax.watsonweekly.com.Lennart also gets into the agentic tooling (agent shopper, agentic merchandising), quiet AI like product readiness scores that flag missing info without nagging, reusable content blocks and embedded Page Designer components, and turnkey industry templates for retail, cosmetics, and furniture that convert well out of the box. He covers the upgraded CLI, the growing library of skills, and support for UCP as the channel-selling standard.The whole point: cut the standup busywork so developers spend time on what actually moves the business.#watsonweekly #agentforce #storefrontnext #agentic

In this episode of The Purposeful Banker, Nicholas Koutouras, VP of Product Management for Q2's Relationship Pricing and Profitability business, discusses why repeated late saves can signal deeper drift inside a bank and how disciplined banks create consistency to help teams spot issues earlier and make steadier decisions. Related Links [Playbook] Beyond Pricing. Disciplined Performance. Real Impact. [LinkedIn] Nicholas Koutouras

In this episode, Andrew is joined by Jimmy Lin from ADT who shares the insider story behind ADT's new DIY-focused Blu system—an easy-to-install, smart security kit designed for the modern homeowner. We break down how ADT may leverage open standards like Matter and Z-Wave, aiming to unify the smart home ecosystem and finally bridge the gap between security and automation.You'll uncover:How ADT's innovative products like the new Live Light smart sign and color night-vision cameras empower homeowners to be proactive rather than reactive.The role of AI and sensor fusion, like Wi-Fi and activity zone detection, in predicting threats before they happen.Why a focus on privacy, seamless integration, and ease of use is transforming the DIY security market.The strategic move into open protocols to create a more connected, interoperable smart home landscape.What's next for ADT: The possibility of introducing scene automation, smart home triggers, and voice command support like Siri shortcuts to truly integrate security with daily life.Jimmy Lin is VP of Product Management at ADT, steering innovations that bridge the gap between trusted home security and intelligent automation. With extensive experience in consumer electronics and AI-powered products—from GoPro cameras to AR glasses—Jimmy brings a keen eye for transforming classic brands into future-ready powerhouses.This episode is packed with actionable insights and future trends that will shape your smart home strategy. Perfect for tech lovers, security pros, and anyone eager to stay ahead of the curve. Don't miss out—hit play now and discover how ADT is redefining what home security can be.Send me your smart home questions and recommendations with the hashtag #SmartHomeInsider. Tweet and follow your host at:@andrew_osu on Twitter@andrewohara941 on ThreadsEmail me hereSponsored by:Shopify: Sign up for a one-dollar-per-month trial period at shopify.com/homekit!Copilot Money:  Limited-time: Get two months free when you sign up at copilot.money/smarthome and use coupon code SMARTHOME!Smart Home Insider YouTube ChannelSubscribe to the Smart Home Insider YouTube Channel and watch our episodes every week! Click here to subscribe.Links from the showGovee TV Backlight 3Govee G25 Filament BulbBose Lifestyle LineupBlu by ADTThose interested in sponsoring the show can reach out to us at: andrew@appleinsider.com